Blockchain and Mobile Client Privacy Protection in E-Commerce Consumer Shopping Tendency Identification Application

Author:

Liu Ruiqian1,Wang Enjiang1

Affiliation:

1. Zhejiang University of Finance and Economics Dongfang College

Abstract

Abstract In recent years, China's e-commerce has made great progress, and the growth trend of online shopping is obvious. Although China's online sales are far below half of the United States. One of the important reasons is the privacy risks of e-commerce and insufficient consumer trust, but it still hinders the development of e-commerce online shopping applications. According to the trust survey, interaction is an important condition for generating trust and an important element. However, in the existing e-commerce trust surveys, the impact of interaction is analyzed, but few surveys only have an impact on consumers' shopping tendency. Therefore, considering the importance of the reliability of e-commerce online shopping applications and the current issues related to consumer privacy protection between the blockchain and mobile clients, on this basis, through theoretical analysis and empirical research, consumers The influence of platform-type shopping websites on reliability and consumer shopping behavior factors and mechanisms, blockchain and mobile client privacy protection design investigation and verification forms. The shopping direction identification system of e-commerce consumers has to some extent made up for the shortcomings of previous empirical research on e-commerce trust behavior. In the field of consumer research, e-commerce has the importance of becoming a specific practical indicator.

Publisher

Research Square Platform LLC

Reference18 articles.

1. Role of E-Commerce in today’s business;Gupta A;Int J Comput Corp Res,2014

2. Foreign direct investment and innovation in China's e-commerce sector;Wang X;J Asian Econ,2012

3. Development of computer-based interactive multimedia: study on learning in elementary education;Rachmadtullah RMSZ;Int J Eng Technol,2018

4. A new applicable model of Iran rural e-commerce development;Jalali AA;Procedia Comput Sci,2011

5. Business and data analytics: New innovations in the management of e-commerce;Kauffman RJ;Electron Commer Res Appl,2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3